Evidence map›Paper›PMID 41471547›Full record

ArticleSensors (Basel, Switzerland)2025

Laser Pulse-Driven Multi-Sensor Time Synchronization Method for LiDAR Systems.

Jiazhi Yang, Xingguo Han, Wenzhong Deng, Hong Jin, Biao Zhang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jiazhi YangGuangxi Region Precious Metal Materials Advanced Process Research Center, Guilin University of Aerospace Technology, Guilin 541004, China.ORCID 0009-0003-9941-4499
Xingguo HanGuangxi Region Precious Metal Materials Advanced Process Research Center, Guilin University of Aerospace Technology, Guilin 541004, China.
Wenzhong DengGuangxi Region Precious Metal Materials Advanced Process Research Center, Guilin University of Aerospace Technology, Guilin 541004, China.ORCID 0009-0007-6440-7423
Hong JinSchool of Computer Science and Engineerin, Guilin University of Technology, Guilin 541004, China.
Biao ZhangSchool of Computer Science and Engineerin, Guilin University of Technology, Guilin 541004, China.

Funding

GuangXi Natural Science Foundation 2025GXNSFAA069565GuangXi Natural Science Foundation 2025GXNSFAA069569
6 · The paper itself

Abstract

Multi-sensor systems require precise time synchronization for accurate data fusion. However, currently prevalent software time synchronization methods often rely on clocks provided by the Global Navigation Satellite System (GNSS), which may not offer high accuracy and can be easily affected by issues with GNSS signals. To address this limitation, this study introduces a novel laser pulse-driven time synchronization (LPTS) method in our custom-developed Light Detecting and Ranging (LiDAR) system. The LPTS method uses electrical pulses, synchronized with laser beams as the time synchronization source, driving the Micro-Controller Unit (MCU) timer within the control system to count with a timing accuracy of 0.1 μs and to timestamp the data from the Positioning and Orientation System (POS) unit or laser scanner unit. By employing interpolation techniques, the POS and laser scanner data are precisely synchronized with laser pulses, ensuring strict correlation through their timestamps. In this article, the working principles and experimental methods of both traditional time synchronization (TRTS) and LPTS methods are discussed. We have implemented both methods on experimental platforms, and the results demonstrate that the LPTS method circumvents the dependency on external time references for inter-sensor alignment and minimizes the impact of laser jitter stemming from third-party time references, without requiring additional hardware. Moreover, it elevates the internal time synchronization resolution to 0.1 μs and significantly improves relative timing precision.

Indexed as

laser pulse drivenLiDARMCUmulti-sensortime synchronization

Identifiers

PMID41471547
PMCPMC12737195

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.